Triple
T12011931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عكّا |
E285922
|
entity |
| Predicate | مرفأ_تاريخي |
P62857
|
FINISHED |
| Object | نعم |
—
|
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: نعم | Statement: [عكّا, مرفأ_تاريخي, نعم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مرفأ_تاريخي Context triple: [عكّا, مرفأ_تاريخي, نعم]
-
A.
isHistoricPortOf
chosen
Indicates that a location served as a significant port for another place during a past historical period.
-
B.
hasMaritimeHeritage
Indicates that an entity possesses a historical, cultural, or traditional connection to maritime activities, seafaring, or the sea.
-
C.
harbours
Indicates that one entity provides shelter, refuge, or concealment for another, often by keeping it safe or hidden.
-
D.
hasMaritimeMuseum
Indicates that one entity possesses, hosts, or includes a maritime museum as part of its features or facilities.
-
E.
servedAsMainSeaportUntil
Indicates that an entity functioned as the primary seaport for another entity up to a specified point in time.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.