Triple
T12011918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عكّا |
E285922
|
entity |
| Predicate | عدد_سكان_تقريبي |
P3412
|
FINISHED |
| Object | نحو 50 ألف نسمة |
—
|
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: نحو 50 ألف نسمة | Statement: [عكّا, عدد_سكان_تقريبي, نحو 50 ألف نسمة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد_سكان_تقريبي Context triple: [عكّا, عدد_سكان_تقريبي, نحو 50 ألف نسمة]
-
A.
hasPopulationApproximate
chosen
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
B.
peakPopulationApproximate
Indicates that the peak population of an entity is known only approximately rather than as an exact value.
-
C.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
hostsPopulation
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
-
E.
languageInhabitants
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
- 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.