Triple
T11893973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5–Lilac |
E282988
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Moema station
Moema station is an underground metro station on São Paulo’s Line 5–Lilac, serving the Moema neighborhood with urban rail transit connections.
|
E1499063
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Moema station | Statement: [Line 5–Lilac, hasStation, Moema station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moema station Context triple: [Line 5–Lilac, hasStation, Moema station]
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Tamade Station
Tamade Station is a subway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
-
C.
Hanaten Station
Hanaten Station is a railway station in Osaka, Japan, serving as a stop on JR West lines including the Osaka Higashi Line.
-
D.
Suminoekōen Station
Suminoekōen Station is a railway station in Osaka, Japan, serving as the southern terminus of the Osaka Metro Yotsubashi Line and a key access point to the nearby Suminoe Park area.
-
E.
Gaiemmae Station
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Moema station Triple: [Line 5–Lilac, hasStation, Moema station]
Generated description
Moema station is an underground metro station on São Paulo’s Line 5–Lilac, serving the Moema neighborhood with urban rail transit connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moema station Target entity description: Moema station is an underground metro station on São Paulo’s Line 5–Lilac, serving the Moema neighborhood with urban rail transit connections.
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Tamade Station
Tamade Station is a subway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
-
C.
Hanaten Station
Hanaten Station is a railway station in Osaka, Japan, serving as a stop on JR West lines including the Osaka Higashi Line.
-
D.
Suminoekōen Station
Suminoekōen Station is a railway station in Osaka, Japan, serving as the southern terminus of the Osaka Metro Yotsubashi Line and a key access point to the nearby Suminoe Park area.
-
E.
Gaiemmae Station
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2eb484e88190948c25fd209af394 |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a2fd17bd48190a6ba7a80b244cdd7 |
completed | May 17, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3047eb04819082e2b9f4e62b4b0b |
completed | May 17, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:44 p.m.