Triple
T7556130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naval Station Jose Andrada |
E178669
|
entity |
| Predicate | hasNearbyCityFeature |
P36605
|
FINISHED |
| Object | Ermita district of Manila |
E239792
|
NE FINISHED |
How this triple was built (3 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: Ermita district of Manila | Statement: [Naval Station Jose Andrada, hasNearbyCityFeature, Ermita district of Manila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermita district of Manila Context triple: [Naval Station Jose Andrada, hasNearbyCityFeature, Ermita district of Manila]
-
A.
Ermita, Manila
chosen
Ermita, Manila is a historic district in the city of Manila known as a major center for government institutions, education, healthcare, and tourism.
-
B.
Sampaloc, Manila
Sampaloc, Manila is a central district of Manila, Philippines, known as an educational hub that hosts several major universities and colleges.
-
C.
Tondo, Manila, Philippines
Tondo, Manila, Philippines is a densely populated and historically significant district of Manila known for its working-class communities and vibrant urban culture.
-
D.
Cabanga neighborhood
Cabanga neighborhood is a waterfront district in Recife, Brazil, known for its marinas, nautical activities, and proximity to the city’s central area.
-
E.
San Nicolas, Manila
San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCityFeature Context triple: [Naval Station Jose Andrada, hasNearbyCityFeature, Ermita district of Manila]
-
A.
hasNearbyUSCity
Indicates that one location has at least one city in the United States situated within a specified nearby distance.
-
B.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
-
C.
hasNearbyTownType
Indicates that one entity has, in its vicinity, a town of a specified type or classification.
-
D.
passesNearCity
Indicates that the path, route, or trajectory of one entity goes close to, but not necessarily through, a specified city.
-
E.
nearbyUrbanCenter
chosen
Indicates that one location is geographically close to an urban center, such as a city or large town.
- F. None of above.
Provenance (4 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d9ebe48190a08110695ce1eb55 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c20258819081761699228b8ba3 |
completed | March 28, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.