Triple
T3423113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Moneda station |
E72158
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LMN
LMN is the station code for La Moneda, a metro station in Santiago, Chile.
|
E357950
|
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: LMN | Statement: [La Moneda station, hasStationCode, LMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LMN Context triple: [La Moneda station, hasStationCode, LMN]
-
A.
LMN
LMN is an American cable television network, formerly known as Lifetime Movie Network, that primarily airs made-for-TV movies and films targeted toward a female audience.
-
B.
MNP
MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
-
C.
Lm
Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
-
D.
LMA
LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- 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: LMN Triple: [La Moneda station, hasStationCode, LMN]
Generated description
LMN is the station code for La Moneda, a metro station in Santiago, Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LMN Target entity description: LMN is the station code for La Moneda, a metro station in Santiago, Chile.
-
A.
LMN
LMN is an American cable television network, formerly known as Lifetime Movie Network, that primarily airs made-for-TV movies and films targeted toward a female audience.
-
B.
MNP
MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
-
C.
Lm
Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
-
D.
LMA
LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547468b8819088e7c4cf3b2e2079 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35519b7f08190b1ea7514036c3453 |
completed | March 13, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358fba2208190bc66d5f7d0009ba4 |
completed | March 13, 2026, 12:23 a.m. |
Created at: March 8, 2026, 3:15 p.m.