Triple
T25800541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao Bảo |
E649812
|
entity |
| Predicate | borderGateOpposite |
P150036
|
FINISHED |
| Object |
Dansavanh (Laos)
Dansavanh is a border town in southern Laos that serves as a key international crossing and trade link with Vietnam.
|
E1698911
|
NE FINISHED |
How this triple was built (3 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: Dansavanh (Laos) | Statement: [Lao Bảo, borderGateOpposite, Dansavanh (Laos)]
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: Dansavanh (Laos) Triple: [Lao Bảo, borderGateOpposite, Dansavanh (Laos)]
Generated description
Dansavanh is a border town in southern Laos that serves as a key international crossing and trade link with Vietnam.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderGateOpposite Context triple: [Lao Bảo, borderGateOpposite, Dansavanh (Laos)]
-
A.
borderStationFor
Indicates that a particular border station serves, monitors, or is responsible for a specific border crossing or boundary segment.
-
B.
includesBorderGate
chosen
Indicates that one entity contains or features a gate located at or forming part of its border or boundary.
-
C.
borderStation
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
-
D.
borderOpening
Indicates that a border between two regions is being opened or made accessible for crossing or interaction.
-
E.
borderPass
Indicates that one entity crosses or moves through the boundary separating two regions or jurisdictions.
- F. None of above.
Provenance (6 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10da129da08190b3feff103edc57b7 |
completed | May 22, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_6a10dc6fb1508190a14c70bbe0302671 |
completed | May 22, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10dd08394081908d41ab46ad30a279 |
completed | May 22, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 22, 2026, 6:37 a.m.