Triple
T4941004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Romney |
E110931
|
entity |
| Predicate | formerHarbourStatus |
P14579
|
FINISHED |
| Object | once a coastal town |
—
|
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: once a coastal town | Statement: [New Romney, formerHarbourStatus, once a coastal town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHarbourStatus Context triple: [New Romney, formerHarbourStatus, once a coastal town]
-
A.
stateOfHarbor
Indicates the current operational or physical condition or status of a harbor.
-
B.
servedAsMainSeaportUntil
Indicates that an entity functioned as the primary seaport for another entity up to a specified point in time.
-
C.
formerAdministrativeStatus
chosen
Indicates that an entity previously held, but no longer holds, a particular administrative status or role.
-
D.
harbourName
Indicates the name assigned to a harbour in which an entity is located or associated.
-
E.
harbours
Indicates that one entity provides shelter, refuge, or concealment for another, often by keeping it safe or hidden.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708ba9888190baf4e79c8f159e9f |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.