Triple
T34986977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osgood Elementary School |
E1008974
|
entity |
| Predicate | hasMunicipalityCharacteristic |
P152922
|
FINISHED |
| Object | coastal town school |
—
|
LITERAL FINISHED |
How this triple was built (2 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: coastal town school | Statement: [Osgood Elementary School, hasMunicipalityCharacteristic, coastal town school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalityCharacteristic Context triple: [Osgood Elementary School, hasMunicipalityCharacteristic, coastal town school]
-
A.
hasHumanSettlementCharacteristic
Indicates that a human settlement possesses a specified characteristic, quality, or feature.
-
B.
hasMunicipalityType
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
-
C.
hasMunicipalAreaFeature
Indicates that a municipal area possesses or contains a specific geographic or infrastructural feature within its boundaries.
-
D.
hasLocalityCharacteristic
chosen
Indicates that something possesses a specific characteristic or feature related to its locality, such as geographic, regional, or place-based attributes.
-
E.
hasMunicipalFlag
Indicates that a municipality possesses an officially recognized flag associated with it.
- F. None of above.
Provenance (3 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.