Triple
T37951449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عكّا العتيقة |
E946754
|
entity |
| Predicate | wasImportantPortFor |
P62857
|
FINISHED |
| Object | الصليبيين |
—
|
NE NERFINISHED |
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: الصليبيين | Statement: [عكّا العتيقة, wasImportantPortFor, الصليبيين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasImportantPortFor Context triple: [عكّا العتيقة, wasImportantPortFor, الصليبيين]
-
A.
wasFirstMajorSeaportOf
Indicates that one place served as the earliest significant seaport for another place or region.
-
B.
isHistoricPortOf
chosen
Indicates that a location served as a significant port for another place during a past historical period.
-
C.
servedAsMainSeaportUntil
Indicates that an entity functioned as the primary seaport for another entity up to a specified point in time.
-
D.
isMainHarbourOf
Indicates that a harbour serves as the primary or principal port facility for a specified location or region.
-
E.
isAmongLargestPortsIn
Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.