Triple
T9517612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koura District |
E229563
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Barsa
Barsa is a town located in the Koura District of northern Lebanon.
|
E806972
|
NE FINISHED |
How this triple was built (4 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: Barsa | Statement: [Koura District, hasTown, Barsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barsa Context triple: [Koura District, hasTown, Barsa]
-
A.
Barakaldo
Barakaldo is a major industrial and residential city in the Basque Country in northern Spain, located near Bilbao along the Nervión River.
-
B.
Bilbao
Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
-
C.
Bilbao
Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
-
D.
Zaragoza
Zaragoza is a metro station on Mexico City’s Line 1 that serves as a key eastern access point to the city’s rapid transit network.
-
E.
Zaragoza
Zaragoza is a historic city in northeastern Spain, known for landmarks like the Basilica del Pilar and its role as a major cultural and economic center in the Aragon region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Barsa Triple: [Koura District, hasTown, Barsa]
Generated description
Barsa is a town located in the Koura District of northern Lebanon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barsa Target entity description: Barsa is a town located in the Koura District of northern Lebanon.
-
A.
Barakaldo
Barakaldo is a major industrial and residential city in the Basque Country in northern Spain, located near Bilbao along the Nervión River.
-
B.
Bilbao
Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
-
C.
Bilbao
Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
-
D.
Zaragoza
Zaragoza is a historic city in northeastern Spain, known for landmarks like the Basilica del Pilar and its role as a major cultural and economic center in the Aragon region.
-
E.
Zaragoza
Zaragoza is a metro station on Mexico City’s Line 1 that serves as a key eastern access point to the city’s rapid transit network.
- F. None of above. chosen
Provenance (5 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9880417c819097dde277988df36d |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1526fbad8819099dfae3b7226898b |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d154f32b28819084cfe2482e89cab0 |
completed | April 4, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1556753dc81908fbfdc7b863b1026 |
completed | April 4, 2026, 6:16 p.m. |
Created at: March 30, 2026, 7:59 p.m.